Data Engineer

Kinetic; Gold Coast City; On-site; AUD 90,000 - 130,000; Full time

Job summary

Kinetic on the Gold Coast is seeking a Data Engineer to help build and manage our enterprise data platforms and data warehousing solutions. This 12-month fixed-term contract starts January 2027 and is Coomera-based, offering hands-on experience with Azure data services alongside a supportive data team.

You will work with Senior Data Engineers to develop pipelines, perform data ingestion and transformation, and ensure platform reliability.

Qualifications

• Experience building ELT/ETL pipelines and working with SQL.
• Experience supporting data testing, validation or troubleshooting.
• Understanding of data warehousing and database management principles.
• Experience with Azure technologies such as Data Factory and Synapse Analytics.
• Proficiency in SQL, Python or other data engineering tools and languages.
• Experience working with APIs and system integrations.
• Strong problem-solving skills and attention to detail.
• Ability to communicate effectively and work collaboratively within a team environment.
• Exposure to GitHub or Azure DevOps, cloud-based data platforms, data warehousing and technical documentation will be highly regarded, though not essential.

Responsibilities

• Build and maintain data pipelines and support data warehousing solutions within Microsoft Azure.
• Support data ingestion, transformation and system integration processes.
• Work with large datasets and implement solutions against established reference designs.
• Troubleshoot database, pipeline and platform availability issues.
• Maintain technical documentation, including data models, data flows and ETL processes.
• Support pipeline scheduling, load balancing and collaborative code development

Skills

ELT/ETL pipelines

SQL

Azure Data Factory

Synapse Analytics

Python

APIs & integrations

GitHub/Azure DevOps

Data warehousing principles

Tools

Azure Data Factory

Synapse Analytics

Job description

• Build your experience across Kinetic's enterprise data platforms and warehousing solutions.
• Develop your technical skills across SQL, Python and Microsoft Azure.
• January 2027 start | Coomera based

Data Engineer

• Build your experience across Kinetic's enterprise data platforms and warehousing solutions.
• Develop your technical skills across SQL, Python and Microsoft Azure.
• January 2027 start | Coomera based

About the Role

We're looking for a Data Engineer to join Kinetic's data team, supporting the development and management of our enterprise data platforms and data warehousing solutions. This 12-month fixed-term contract commences in January 2027 and offers the opportunity to build your experience with Australia's leading bus operator.

Working alongside Senior Data Engineers, you'll contribute to data pipeline development, system integration and platform operations within Microsoft Azure. You'll also work with large and complex datasets, troubleshoot technical issues and maintain documentation covering data models, data flows and ETL processes.

This role will suit an early-career Data Engineer who is curious, eager to learn and motivated to develop their technical skills in a fast-paced environment. You'll gain hands-on experience with enterprise data platforms and broaden your technical capabilities while working alongside experienced Data Engineers. A strong technical foundation, a proactive approach to problem-solving and a genuine willingness to learn will set you up for success in this role.

What You Will Do

• Build and maintain data pipelines and support data warehousing solutions within Microsoft Azure.
• Support data ingestion, transformation and system integration processes.
• Work with large datasets and implement solutions against established reference designs.
• Troubleshoot database, pipeline and platform availability issues.
• Maintain technical documentation, including data models, data flows and ETL processes.
• Support pipeline scheduling, load balancing and collaborative code development

What You Will Need

• Experience building ELT/ETL pipelines and working with SQL.
• Experience supporting data testing, validation or troubleshooting.
• Understanding of data warehousing and database management principles.
• Experience with Azure technologies such as Data Factory and Synapse Analytics.
• Proficiency in SQL, Python or other data engineering tools and languages.
• Experience working with APIs and system integrations.
• Strong problem-solving skills and attention to detail.
• Ability to communicate effectively and work collaboratively within a team environment.
• Exposure to GitHub or Azure DevOps, cloud-based data platforms, data warehousing and technical documentation will be highly regarded, though not essential.

About us

At Kinetic, we don't just move people - we're creating the positive change our planet needs. As a leader in sustainable transport, we're committed to creating cleaner, safer, and greener environments for generations to come.

Our size and scale give our people real opportunities to learn, grow, and progress in their careers. Calm, positive and respectful team players thrive here. Our people embrace change and are encouraged to stretch their comfort zone while making a difference. We challenge each other to be our best.

We're driven by respect, diversity and genuine connection. From networking groups to community partnerships and volunteering, our camaraderie naturally brings people together. Our energy and dedication keep communities moving and our people growing.